High-throughput, automated quantification of white matter neurons in mild malformation of cortical development in epilepsy

Liu, J.Y.W., Ellis, M., Brooke-Ball, H., de Tisi, J., Eriksson, S.H., Brandner, S., Sisodiya, S.M. and Thom, M. 2014. High-throughput, automated quantification of white matter neurons in mild malformation of cortical development in epilepsy. Acta Neuropathologica Communications. 2 72. https://doi.org/10.1186/2051-5960-2-72

TitleHigh-throughput, automated quantification of white matter neurons in mild malformation of cortical development in epilepsy
TypeJournal article
AuthorsLiu, J.Y.W., Ellis, M., Brooke-Ball, H., de Tisi, J., Eriksson, S.H., Brandner, S., Sisodiya, S.M. and Thom, M.
Abstract

Introduction
In epilepsy, the diagnosis of mild Malformation of Cortical Development type II (mMCD II) predominantly relies on the histopathological assessment of heterotopic neurons in the white matter. The exact diagnostic criteria for mMCD II are still ill-defined, mainly because findings from previous studies were contradictory due to small sample size, and the use of different stains and quantitative systems. Advance in technology leading to the development of whole slide imaging with high-throughput, automated quantitative analysis (WSA) may overcome these differences, and may provide objective, rapid, and reliable quantitation of white matter neurons in epilepsy. This study quantified the density of NeuN immunopositive neurons in the white matter of up to 142 epilepsy and control cases using WSA. Quantitative data from WSA was compared to two other systems, semi-automated quantitation, and the widely accepted method of stereology, to assess the reliability and quality of results from WSA.

Results
All quantitative systems showed a higher density of white matter neurons in epilepsy cases compared to controls (P = 0.002). We found that, in particular, WSA with user-defined region of interest (manual) was superior in terms of larger sampled size, ease of use, time consumption, and accuracy in region selection and cell recognition compared to other methods. Using results from WSA manual, we proposed a threshold value for the classification of mMCD II, where 78% of patients now classified with mMCD II were seizure-free at the second post-operatively follow up.

Conclusion
This study confirms the potential role of WSA in future quantitative diagnostic histology, especially for the histopathological diagnosis of mMCD.

Article number72
JournalActa Neuropathologica Communications
Journal citation2
ISSN2051-5960
Year2014
PublisherBMC
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1186/2051-5960-2-72
Publication dates
Published13 Jun 2014

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